Openai jobs

AI First Software Engineer 2 Locations posted: Posted 14 Days Ago

Engineering Manager, Order Systems San Francisco, California, United States About the Team Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements. About the role We are looking for an Engineering Manager to build and operate the workflows to power quoting, tracking, and fulfillment for everything sold by OpenAI. We also build critical billing and invoicing capabilities (and partner closely on customer-facing billing experiences) to ensure financial integrity, auditability, and a seamless, transparent onboarding and billing journey for enterprise customers. In this role you will: - Lead and grow a team of engineers responsible for order management automation, focusing on reliability, correctness, and smooth customer onboarding. - Own the architecture and roadmap for order data flows into downstream systems (e.g., internal provisioning services, billing/invoicing services, and revenue workflows). - Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition-minimizing manual steps while maximizing correctness and traceability. - Improve accuracy and timeliness of provisioning, billing, and invoicing-reducing manual intervention and operational load through automation, validation, and reconciliations. - Establish strong operational practices (observability, alerting, runbooks, on-call) so systems remain healthy without constant human oversight. - Partner deeply with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance to translate requirements into resilient, auditable workflows. - Drive clarity across ambiguous problem

Partner Manager - Search, Commerce San Francisco, California, United States About the team We are a small and fast-moving partnerships team that shapes and executes all aspects of collaboration with the largest partners. Your mission in this role is to maintain and scale partnerships spanning consumer products. You will build deep relationships, ensure we have the right strategic partners, lead cross-functional workstreams and advance OpenAI's mission. About the role We are seeking a skilled generalist who can rapidly context switch but have a background working closely with product leaders and expertise in strategic deals. You're able to drive work at high velocity and can motivate external and internal partners, including product, engineering, and operations. You operate with independence and focus, finding creative solutions to unlock growth and innovation. In this role, you will: - Own and scale our most strategic search and commerce partnerships: Drive day-to-day partnership strategy and execution across priority partners, working closely with product, engineering, research, sales, finance, legal, and marketing to align roadmaps and deliver outcomes. - Support partnership deal execution: Support commercial negotiations from partner evaluation through launch, expansion, and renewal, including both product integrations and commercial terms. - Operate as a cross-functional driver: Coordinate internal teams and external partners to launch, manage, and optimize partnership initiatives end-to-end. - Serve as the internal advocate for partners, aligning product and cross-functional teams to partner goals, applying thoughtful pushback on roadmap tradeoffs, and driving accountability against agreed success metrics. - Run partner operating cadence: Establish and manage

Senior Manager, AI Inference Boston posted: Posted 24 Days Ago

AI Software Engineer Zagreb (Croatia) posted: Posted 22 Days Ago

AI/ML Engineer, Deployed Abu Dhabi, United Arab Emirates, Doha About Brain Co. Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley's leading builders - including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world's most important institutions - delivering impact on real-world problems.Our progress so far - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work - Raised a $30M Series A from top investors - Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one. About The Role As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This

Strategic Finance Lead, B2B Strategy & Planning San Francisco, California, United States About the Team The Strategic Finance team provides financial insights and guidance to support OpenAI's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest-impact outcomes.  Within Strategic Finance, the B2B team focuses on the financial performance of our products and GTM functions, ensuring tight alignment between financial objectives and company strategy. We partner with leaders across Product, GTM, Research, Partnerships, and Operations to: - Drive operational planning, financial forecasting, and performance management. - Provide decision-quality insights on product and financial performance to inform strategic resource allocation. - Build the “0→1” financial foundations required to scale and accelerate growth. About the Role We are hiring a senior leader in B2B Strategic Finance to build and scale a new pillar within our finance organization. This is a highly visible role that reports into the Head of B2B Strategic Finance and supports some of our most critical executive stakeholders, including our COO, CFO, and CRO, among others on the B2B Leadership Team. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive B2B finance scale and rigor - Build and scale core financial infrastructure across the B2B business, including forecasting methodology, variance management, and performance narratives that drive accountability and decision-making velocity. - Lead consolidated planning

Principal Applied Scientist, Agentic AI Remote-USA posted: Posted 30+ Days Ago

AIML - Sr. ML Engineer, NL Response Generation - Answers, Knowledge, & Information (AKI) Santa Clara, United States of America The Answers, Knowledge & Information team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information! We are looking for a senior Machine Learning Engineer with a passion for using machine learning to build intelligent search applications. Our team researches and implements novel query understanding, ranking and response generation techniques, machine learning algorithms and models that power amazing Search experiences across Apple products. This role will have the chance to work closely on Natural Language response generation models, make improvements and perform scalable evaluation that will impact Apple Users and broader AIML community. Role responsibilities include: - Contribute on research, design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized response generation models. - Use advanced NLP, deep learning and LLM techniques to generate grounded responses for user intent. - Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps

Forward Deployed Engineer (FDE) - NYC New York City, New York, United States About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You'll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and

Product Engineer, Marketing Innovation San Francisco, California, United States About the team Marketing Innovation is a product engineering team embedded within OpenAI's broader Demand Gen and Marketing organization. The team builds agentic, AI‑native systems that directly drive revenue, pipeline, and marketing leverage. Our mandate is to own and scale autonomous, customer‑facing and internal systems that operate at massive scale. This includes building autonomous, customer‑facing systems that engage with prospects, generate pipeline and revenue, and shape the future of how marketing and revenue teams operate in an AI‑native world. We focus on problems that exceed the limits of low‑code tools and long‑tail workflow automation. When a problem requires a native product experience, deep system integration, and high standards for precision, safety, and reliability, Marketing Innovation steps in. About the role We're looking for product‑minded software engineers to join the Marketing Innovation team. As a Product Engineer on this team, you will build and own autonomous, customer‑facing agentic systems that interface directly with enterprise customers, prospects, and revenue‑critical workflows. You will partner closely with functional leaders across scaled revenue, demand gen, and marketing to understand desired outcomes, then translate those needs into production‑grade systems. You will move quickly from ambiguous problem statements to working software in production. Your work will be measured not by output, but by impact: revenue, enterprise pipeline, and Marketing efficiency. This role is ideal for engineers who want ownership over real systems, enjoy building 0->1 products, and are excited to define new categories of AI‑native products and workflows.

AI Research Scientist - Datadog AI Research (DAIR) New York, New York, USA As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate

Senior AI Performance and Efficiency Engineer 4 Locations posted: Posted 30+ Days Ago

AI Product Engineer, Deployed Abu Dhabi, United Arab Emirates, Doha About Brain Co. Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley's leading builders - including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world's most important institutions - delivering impact on real-world problems.Our progress so far - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work - Raised a $30M Series A from top investors - Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one. About The Role As an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces

Senior AI Engineer 3 Locations posted: Posted Yesterday

Senior AI Engineer Boston Office | Hybrid | Remote ABOUT THE ROLE We're hiring a Senior AI Engineer to join the team here in Boston. This is an opportunity to have a significant impact on the product. Come help us scale to the next level! You will have the opportunity to make a huge impact on a small yet growing team and culture. In this role, you will work directly on a cross-functional engineering team, reporting to the VP of Engineering. ⚡ WHAT YOU'LL DO - Build AI Agent and Chat Capabilities - Develop AI-powered assistants using cutting-edge technologies and tooling that help our customers run their small businesses - Deploy & Scale AI Features - Build infrastructure and pipelines to support real-time AI interactions in a production environment - Experiment & Iterate - Prototype new AI applications, evaluate their performance, and continuously refine them based on user feedback - Partner with engineering and product leaders - Contribute strategically and play a key role in the product development process 🎯 WHAT WE'RE LOOKING FOR - 5+ years of experience in AI, ML, or NLP-related engineering roles - Proficiency in Python, with preferred experience in Django, React, and PostgreSQL - Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases - Hands-on experience with OpenAI and Anthropic APIs - Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation - Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar -